Nvidia Nvidia K80 Gpu

In the case of tesla gpus gpu boost is customized for compute intensive workloads running on clusters.

Nvidia nvidia k80 gpu. It is possible to pass each of the two gk210 gpus to a separate vm but not possible to pass both through within a single vm. It also includes 24 gb of gpu memory for training neural networks. Built on the 28 nm process and based on the gk210 graphics processor in its gk210 885 a1 variant the card supports directx 12. 24gb gddr5 12gb per gpu gpu.

Dubbed the tesla k80 nvidia s latest tesla card is an unusual and unexpected entry into the tesla lineup. The tesla k80 was a professional graphics card by nvidia launched in november 2014. The tesla has 5000 cuda cores the 940m has 384. It is sort of like comparing a bullet train to a toyota corolla.

Tesla is the world s leading platform for the accelerated data center with innovations in interconnect technologies like gpu direct rdma popular programming models like nvidia cuda and openacc and hundreds of accelerated applications and libraries. Built on the turing architecture it features 4608 576 full speed mixed precision tensor cores for accelerating ai and 72 rt cores for accelerating ray tracing. Unfortunately each gpu needs to map just over 16gb of memory which means that only one of the two k80 gpu devices can be passed through to a vm currently. Nvidia tesla k80 900 22080 0000 000 passive computing accelerators memory size.

A k80 card actually contains two separate gk210 gpu devices. Nvidia gpu boost is a feature available on nvidia geforce and tesla gpus that boosts application performance by increasing gpu core and memory clock rates when sufficient power and thermal headroom are available see the earlier parallel forall post about gpu boost by mark harris. 2x kepler gk210 memory bandwidth. The tesla has a memory bandwidth of 480 gb sec the 940m has 14 gb sec.

For tesla k80 nvidia has produced a new gpu gk210 and then put two of them into. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. 4992 2496 per gpu. Tesla k80 has 24gb gddr5 ram the 940m has 4gb gddr3.

480 gb sec 240 gb sec per gpu cuda cores. The gk210 graphics processor is a large chip with a die area of 561 mm and 7 100 million transistors.